phusi

Department of Strategy and Innovation

Paul
Hünermund
Assistant professor
,
Tenure Track adjunct


Room: KIL/14.A-3.66
Tel:
+4538152873
E-mail: phu.si@cbs.dk
Paul Hünermund
Presentation

Paul Hünermund is Assistant Professor at the department of Strategy & Innovation at Copenhagen Business School. He studied economics at the University of Mannheim, HEC Lausanne, and New York University. After completion of his PhD in business economics at KU Leuven in 2017, he spent three years as a tenure-track Assistant Professor at Maastricht University in the Netherlands, before joining CBS in September 2020. Paul's research interests lie in the area of innovation, firm strategy, R&D policy and causal inference. He is part of the editorial board of the Journal of Causal Inference and member of the executive team (responsible for social media) of the Technology and Innovation Management Division (TIM) at the Academy of Management.

Primary research areas

- Innovation Economics and Management
- Firm Strategy
- Science, Technology and Innovation Policy
- Causal Inference
- Data Science and Applied Econometrics

 

Link to this homepage
www.cbs.dk/en/staff/phusi
Publications sorted by:
2023
Paul Hünermund; Yannick Bammens; Jermain Christopher Kaminski / Causal Discovery in Strategic Management Research
Paper presented at DRUID23 Conference, 2023
Paper > peer review
Paul Hünermund; Elias Bareinboim / Causal Inference and Data Fusion in Econometrics
In: Econometrics Journal, 10.3.2023
Journal article > peer review
Paul Hünermund; Beyers Louw; Itamar Caspi / Double Machine Learning and Automated Confounder Selection : A Cautionary Tale.
In: Journal of Causal Inference, Vol. 11, No. 1, 5.2023
Journal article > peer review
Yannick Bammens; Paul Hünermund / Ecological Community Logics, Identifiable Business Ownership, and Green Innovation as a Company Response
In: Research Policy, Vol. 52, No. 8, 10.2023
Journal article > peer review
Philipp Böing; Paul Hünermund / Is there a Slowdown in Research Productivity? : Evidence from China and Germany.
In: Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research . Paris : OECD 2023, p. 79-84
Book chapter
Paul Hünermund; Beyers Louw / On the Nuisance of Control Variables in Causal Regression Analysis
In: Organizational Research Methods, 25.12.2023
Journal article > peer review
Miloš Fišar; Ben Greiner; Christoph Huber; Elena Katok; Ali I. Ozkes; ; Tom Grad; Paul Hünermund; Giacomo Marchesini; Michel Van der Borgh / Reproducibility in Management Science
In: Management Science, 22.12.2023
Journal article > peer review
Carla Schmitt; Jermain Christopher Kaminski; Paul Hünermund / Structural Causal Models in Strategy : Opportunities and Boundaries.
In: Proceedings of the Eighty-third Annual Meeting of the Academy of Management. ed. /Sonia Taneja. Briarcliff Manor, NY : Academy of Management 2023, 1 p. (Academy of Management Annual Meeting Proceedings)
Conference abstract in proceedings > peer review
Yannick Bammens; Paul Hünermund / Using Federated Machine Learning to Overcome the AI Scale Disadvantage
In: MIT Sloan Management Review, Vol. 65, No. 1, 9.2023, p. 54-57
Journal article > peer review
2022
Paul Hünermund; Beyers Louw; Itamar Caspi / Double Machine Learning and Automated Confounder Selection : A Cautionary Tale.
In: Proceedings of the Eighty-second Annual Meeting of the Academy of Management . ed. /Sonia Taneja. Briarcliff Manor, NY : Academy of Management 2022, 1 p., p. 2199 (Academy of Management Proceedings)
Conference abstract in proceedings > peer review
More results... (total 27 results)
Outside activities
Year Name of the contractual partner Type of activity
2022 - 2024 Geminos Software Advisory board member.
2023 - 2025 University of Bremen Part-Time position.